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Proceedings Paper • Open Access

Compressive sensing for hyperspectral earth observation from space
Author(s): A. Barducci; D. Guzzi; C. Lastri; V. Nardino; I. Pippi; V. Raimondi

Paper Abstract

Topical studies [1-5] demonstrate that signal acquisition can be performed at sampling frequencies far below the minimal frequency dictated by the ideal sampling theorem, a concept called "compressive sampling" (CS). This technique can be applied to signals that don't convey the entire information amount predicted by the traditional sampling theory, regardless of the maximum frequency contained in their spectrum. Signals with this intriguing characteristic are called sparse.

Paper Details

Date Published: 17 November 2017
PDF: 9 pages
Proc. SPIE 10563, International Conference on Space Optics — ICSO 2014, 1056353 (17 November 2017); doi: 10.1117/12.2304078
Show Author Affiliations
A. Barducci, Sofasi S.R.L. (Italy)
D. Guzzi, Istituto di Fisica Applicata "Nello Carrara" (Italy)
C. Lastri, Istituto di Fisica Applicata "Nello Carrara" (Italy)
V. Nardino, Istituto di Fisica Applicata "Nello Carrara" (Italy)
I. Pippi, Istituto di Fisica Applicata "Nello Carrara" (Italy)
V. Raimondi, Istituto di Fisica Applicata "Nello Carrara" (Italy)


Published in SPIE Proceedings Vol. 10563:
International Conference on Space Optics — ICSO 2014
Zoran Sodnik; Bruno Cugny; Nikos Karafolas, Editor(s)

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